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Ballard SA, Sherry NL, Howden BP. Public health implementation of pathogen genomics: the role for accreditation and application of ISO standards. Microb Genom 2023; 9:mgen001097. [PMID: 37590046 PMCID: PMC10483410 DOI: 10.1099/mgen.0.001097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/04/2023] [Indexed: 08/18/2023] Open
Abstract
Pathogen genomics has transitioned rapidly from the research setting into a powerful tool now routinely used in public health microbiology, for surveillance, outbreak investigations and disease control. As these investigations can have significant public health, treatment and legal impacts, we must ensure the accuracy of these results through validation of testing processes. For laboratories working in this space, it is important to approach this work with a quality and accreditation framework in mind, working towards implementation of quality systems and test validation that meet international regulatory standards. Here we outline the key international standards and processes that lead toward accreditation for pathogen genomics.
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Affiliation(s)
- Susan A. Ballard
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St Melbourne, 3000, Australia
| | - Norelle L. Sherry
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St Melbourne, 3000, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, Austin Hospital, 145 Studley Rd., Heidelberg, Victoria 3084, Australia
| | - Benjamin P. Howden
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St Melbourne, 3000, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, Austin Hospital, 145 Studley Rd., Heidelberg, Victoria 3084, Australia
- Centre for Pathogen Genomics, The University of Melbourne, Melbourne, Australia
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2
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Lee WP, Zhu Q, Yang X, Liu S, Cerveira E, Ryan M, Mil-Homens A, Bellfy L, Ye K, Lee C, Zhang C. JAX-CNV: A Whole-genome Sequencing-based Algorithm for Copy Number Detection at Clinical Grade Level. GENOMICS, PROTEOMICS & BIOINFORMATICS 2022; 20:1197-1206. [PMID: 35085778 DOI: 10.1016/j.gpb.2021.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/30/2021] [Accepted: 09/06/2021] [Indexed: 10/19/2022]
Abstract
We aimed to develop a whole-genome sequencing (WGS)-based copy number variant (CNV) calling algorithm with the potential of replacing chromosomal microarray assay (CMA) for clinical diagnosis. JAX-CNV is thus developed for CNV detection from WGS data. The performance of this CNV calling algorithm was evaluated in a blinded manner on 31 samples and compared to the 112 CNVs reported by clinically validated CMAs for these 31 samples. The result showed that JAX-CNV recalled 100% of these CNVs. Besides, JAX-CNV identified an average of 30 CNVs per individual that was an approximately seven-fold increase compared to calls of clinically validated CMAs. Experimental validation of 24 randomly selected CNVs showed one false positive, i.e., a false discovery rate (FDR) of 4.17%. A robustness test on lower-coverage data revealed a 100% sensitivity for CNVs larger than 300 kb (the current threshold for College of American Pathologists) down to 10× coverage. For CNVs larger than 50 kb, sensitivities were 100% for coverages deeper than 20×, 97% for 15×, and 95% for 10×. We developed a WGS-based CNV pipeline, including this newly developed CNV caller JAX-CNV, and found it capable of detecting CMA-reported CNVs at a sensitivity of 100% with about a FDR of 4%. We propose that JAX-CNV could be further examined in a multi-institutional study to justify the transition of first-tier genetic testing from CMAs to WGS. JAX-CNV is available at https://github.com/TheJacksonLaboratory/JAX-CNV.
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Affiliation(s)
- Wan-Ping Lee
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an 710049, China; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Qihui Zhu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Xiaofei Yang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China; MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Silvia Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Eliza Cerveira
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Mallory Ryan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Adam Mil-Homens
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Lauren Bellfy
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Kai Ye
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Charles Lee
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Life Sciences, Ewha Womans University, Seoul 03760, South Korea
| | - Chengsheng Zhang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
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Kariuki S, Dyson ZA, Mbae C, Ngetich R, Kavai SM, Wairimu C, Anyona S, Gitau N, Onsare RS, Ongandi B, Duchene S, Ali M, Clemens JD, Holt KE, Dougan G. Multiple introductions of multidrug-resistant typhoid associated with acute infection and asymptomatic carriage, Kenya. eLife 2021; 10:67852. [PMID: 34515028 PMCID: PMC8494480 DOI: 10.7554/elife.67852] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 09/08/2021] [Indexed: 02/02/2023] Open
Abstract
Background: Understanding the dynamics of infection and carriage of typhoid in endemic settings is critical to finding solutions to prevention and control. Methods: In a 3-year case-control study, we investigated typhoid among children aged <16 years (4670 febrile cases and 8549 age matched controls) living in an informal settlement, Nairobi, Kenya. Results: 148 S. Typhi isolates from cases and 95 from controls (stool culture) were identified; a carriage frequency of 1 %. Whole-genome sequencing showed 97% of cases and 88% of controls were genotype 4.3.1 (Haplotype 58), with the majority of each (76% and 88%) being multidrug-resistant strains in three sublineages of the H58 genotype (East Africa 1 (EA1), EA2, and EA3), with sequences from cases and carriers intermingled. Conclusions: The high rate of multidrug-resistant H58 S. Typhi, and the close phylogenetic relationships between cases and controls, provides evidence for the role of carriers as a reservoir for the community spread of typhoid in this setting. Funding: National Institutes of Health (R01AI099525); Wellcome Trust (106158/Z/14/Z); European Commission (TyphiNET No 845681); National Institute for Health Research (NIHR); Bill and Melinda Gates Foundation (OPP1175797).
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Affiliation(s)
- Samuel Kariuki
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.,Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom
| | - Zoe A Dyson
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom.,Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, United Kingdom.,London School of Hygiene & Tropical Medicine, London, United Kingdom.,Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia
| | - Cecilia Mbae
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Ronald Ngetich
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Susan M Kavai
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Celestine Wairimu
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Stephen Anyona
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Naomi Gitau
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Robert Sanaya Onsare
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Beatrice Ongandi
- Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Sebastian Duchene
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Mohamed Ali
- Department of International Health, John's Hopkins University, Baltimore, United States
| | | | - Kathryn E Holt
- London School of Hygiene & Tropical Medicine, London, United Kingdom.,Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia
| | - Gordon Dougan
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, United Kingdom
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Toohey-Kurth KL, Mulrooney DM, Hinkley S, Lea Killian M, Pedersen JC, Bounpheng MA, Pogranichniy R, Bolin S, Maes R, Tallmadge RL, Goodman LB, Crossley BM. Best practices for performance of real-time PCR assays in veterinary diagnostic laboratories. J Vet Diagn Invest 2020; 32:815-825. [PMID: 32996402 PMCID: PMC7649542 DOI: 10.1177/1040638720962076] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
The exquisite sensitivity of in vitro amplification assays such as real-time polymerase chain reaction (rtPCR) requires the establishment of thorough and robust laboratory practices. To this end, an American Association of Veterinary Laboratory Diagnosticians (AAVLD) committee of subject matter experts was convened to develop a set of best practices for performance of nucleic acid amplification assays. Consensus advice for the performance of preanalytical, analytical, and postanalytical steps is presented here, along with a review of supporting literature.
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Affiliation(s)
- Kathy L. Toohey-Kurth
- California Animal Health and Food Safety Laboratory, University of California–Davis, San Bernardino
| | - Donna M. Mulrooney
- Oregon Veterinary Diagnostic Laboratory, Oregon State University, Corvallis, OR
| | | | | | | | | | - Roman Pogranichniy
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS
| | - Steve Bolin
- Veterinary Diagnostic Laboratory, Michigan State University, Lansing, MI
| | - Roger Maes
- Veterinary Diagnostic Laboratory, Michigan State University, Lansing, MI
| | | | - Laura B. Goodman
- Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Beate M. Crossley
- California Animal Health and Food Safety Laboratory, University of California–Davis, San Bernardino and Davis branches, CA
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Guimaraes AMS, Zimpel CK. Mycobacterium bovis: From Genotyping to Genome Sequencing. Microorganisms 2020; 8:E667. [PMID: 32375210 PMCID: PMC7285088 DOI: 10.3390/microorganisms8050667] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/17/2020] [Accepted: 04/21/2020] [Indexed: 12/15/2022] Open
Abstract
Mycobacterium bovis is the main pathogen of bovine, zoonotic, and wildlife tuberculosis. Despite the existence of programs for bovine tuberculosis (bTB) control in many regions, the disease remains a challenge for the veterinary and public health sectors, especially in developing countries and in high-income nations with wildlife reservoirs. Current bTB control programs are mostly based on test-and-slaughter, movement restrictions, and post-mortem inspection measures. In certain settings, contact tracing and surveillance has benefited from M. bovis genotyping techniques. More recently, whole-genome sequencing (WGS) has become the preferential technique to inform outbreak response through contact tracing and source identification for many infectious diseases. As the cost per genome decreases, the application of WGS to bTB control programs is inevitable moving forward. However, there are technical challenges in data analyses and interpretation that hinder the implementation of M. bovis WGS as a molecular epidemiology tool. Therefore, the aim of this review is to describe M. bovis genotyping techniques and discuss current standards and challenges of the use of M. bovis WGS for transmission investigation, surveillance, and global lineages distribution. We compiled a series of associated research gaps to be explored with the ultimate goal of implementing M. bovis WGS in a standardized manner in bTB control programs.
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Affiliation(s)
- Ana M. S. Guimaraes
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, University of São Paulo, São Paulo 01246-904, Brazil;
| | - Cristina K. Zimpel
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, University of São Paulo, São Paulo 01246-904, Brazil;
- Department of Preventive Veterinary Medicine and Animal Health, University of São Paulo, São Paulo 01246-904, Brazil
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Kenyon J, Inns T, Aird H, Swift C, Astbury J, Forester E, Decraene V. Campylobacter outbreak associated with raw drinking milk, North West England, 2016. Epidemiol Infect 2020; 148:e13. [PMID: 32000879 PMCID: PMC7019543 DOI: 10.1017/s0950268820000096] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 12/17/2019] [Accepted: 01/08/2020] [Indexed: 12/03/2022] Open
Abstract
In December 2016, Public Health England investigated an outbreak of campylobacteriosis in North West England, with 69 cases in total. Epidemiological, microbiological and environmental investigations associated the illness with the consumption of unpasteurised cows' milk from Farm X, where milk was predominantly sold from a vending machine. Campylobacter was detected in milk samples which, when sequenced, were identical in sequence type as pathogens isolated from cases (Clonal Complex ST-403, Sequence Type 7432). The farm was served with a Hygiene Emergency Prohibition Order to prevent further cases. To our knowledge, this is the first outbreak of campylobacter associated with unpasteurised milk in England since 1996. Our findings highlighted several important lessons, including that the current testing regime in England for unpasteurised milk is not fit for purpose and that the required warning label should include additional wording, underscoring the risk to vulnerable groups. There has been a substantial increase in both the volume of unpasteurised milk consumed in England and the use of vending machines to sell unpasteurised milk over the last 10 years, making unpasteurised milk more readily accessible to a wider population. The evidence generated from outbreaks like this is therefore critical and should be used to influence policy development.
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Affiliation(s)
- J. Kenyon
- Public Health England North West Centre, Preston, UK
| | - T. Inns
- Field Service, National Infection Service, Public Health England, London, UK
| | - H. Aird
- Food, Water & Environmental Microbiology Laboratory, Public Health England, York, UK
| | - C. Swift
- Gastrointestinal Bacterial Reference Unit, Public Health England, London, UK
| | - J. Astbury
- Public Health England North West Centre, Preston, UK
| | - E. Forester
- Food, Water & Environmental Microbiology Laboratory, Public Health England, York, UK
| | - V. Decraene
- Field Service, National Infection Service, Public Health England, London, UK
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Coagulase-Negative Staphylococci Pathogenomics. Int J Mol Sci 2019; 20:ijms20051215. [PMID: 30862021 PMCID: PMC6429511 DOI: 10.3390/ijms20051215] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 02/28/2019] [Accepted: 03/07/2019] [Indexed: 01/16/2023] Open
Abstract
Coagulase-negative Staphylococci (CoNS) are skin commensal bacteria. Besides their role in maintaining homeostasis, CoNS have emerged as major pathogens in nosocomial settings. Several studies have investigated the molecular basis for this emergence and identified multiple putative virulence factors with regards to Staphylococcus aureus pathogenicity. In the last decade, numerous CoNS whole-genome sequences have been released, leading to the identification of numerous putative virulence factors. Koch’s postulates and the molecular rendition of these postulates, established by Stanley Falkow in 1988, do not explain the microbial pathogenicity of CoNS. However, whole-genome sequence data has shed new light on CoNS pathogenicity. In this review, we analyzed the contribution of genomics in defining CoNS virulence, focusing on the most frequent and pathogenic CoNS species: S. epidermidis, S. haemolyticus, S. saprophyticus, S. capitis, and S. lugdunensis.
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